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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. 2-RES-JB
    11. 738
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    oai_token-act-pair · gpt-4-turbo

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    åĮ
    -0.68
    arate
    -0.66
    thood
    -0.64
    ceive
    -0.62
    åĤ
    -0.62
     Sachs
    -0.60
    PRES
    -0.60
    Street
    -0.59
    Scotland
    -0.59
    attery
    -0.58
    POSITIVE LOGITS
    iest
    0.76
    eatures
    0.75
     portion
    0.67
    hest
    0.66
     dilemma
    0.66
    osphere
    0.65
    ultimate
    0.65
     question
    0.64
     consisted
    0.63
    orah
    0.61
    Activations Density 2.024%

    No Known Activations