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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. 561
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    INDEX
    Explanations

    mentions of office locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to offices or office spaces

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.92
    âķIJâķIJ
    -0.78
    theless
    -0.76
    ï¸
    -0.72
     Adin
    -0.70
     Haram
    -0.69
    MQ
    -0.69
    eful
    -0.68
    Prev
    -0.68
    ivals
    -0.67
    POSITIVE LOGITS
    holders
    1.10
    holder
    1.10
    tops
    1.04
     365
    0.82
    person
    0.80
     holder
    0.80
    room
    0.77
     tower
    0.75
    cle
    0.75
    mate
    0.74
    Activations Density 0.028%

    No Known Activations