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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. 7-RES-JB
    11. 2872
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    Explanations

    instances indicating success or recognition, possibly related to achievements or victories

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competition and achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.66
     ali
    -0.57
     Phill
    -0.57
     thirds
    -0.57
     Moss
    -0.57
     Cris
    -0.55
     Hir
    -0.55
     Ts
    -0.54
     fractions
    -0.53
    asc
    -0.53
    POSITIVE LOGITS
    ,
    0.87
    KEN
    0.72
    OVA
    0.72
    apo
    0.71
    ,-
    0.71
    PIN
    0.69
    maxwell
    0.69
    ãĥ»
    0.67
    ,—
    0.65
    )=(
    0.65
    Activations Density 0.356%

    No Known Activations