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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 15113
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    Explanations

    mentions of specific organizations and technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive events or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    "]=>
    -0.59
     Moss
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     thirds
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    bec
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     HERO
    -0.56
    asc
    -0.56
    har
    -0.55
     Phill
    -0.54
    ordered
    -0.54
     specs
    -0.53
    POSITIVE LOGITS
    ,
    0.79
    KEN
    0.71
    )=(
    0.71
    :,
    0.69
    ãĥ»
    0.69
    ibrary
    0.69
    umbn
    0.68
    apo
    0.67
    theless
    0.66
    uria
    0.65
    Activations Density 0.316%

    No Known Activations