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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. 4-RES-JB
    11. 9070
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    Explanations

    mentions of individuals or entities that are highly regarded or admired

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "likes" in relation to various subjects and contexts

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

    No Comments

    Negative Logits
    INA
    -0.80
    arding
    -0.74
     Ethics
    -0.70
    IENT
    -0.67
    apers
    -0.66
    verning
    -0.66
    ards
    -0.65
    Definition
    -0.65
    BILITIES
    -0.63
    oding
    -0.63
    POSITIVE LOGITS
    lihood
    1.39
    liest
    1.15
    lier
    1.05
    liness
    0.92
    minded
    0.80
    bill
    0.79
     minded
    0.78
    ileaks
    0.70
    terday
    0.67
     Fav
    0.66
    Activations Density 0.021%

    No Known Activations