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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. 3-RES-JB
    11. 81
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    Explanations

    phrases encapsulated in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    phrases marked by quotation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Azerb
    -0.79
     Flavoring
    -0.77
    ĸļ
    -0.70
     rul
    -0.69
     tradem
    -0.69
     rall
    -0.68
     seasoned
    -0.65
     Alger
    -0.65
     sacrific
    -0.65
     tabl
    -0.64
    POSITIVE LOGITS
    almost
    1.14
    no
    1.12
    little
    1.11
    too
    1.10
    extremely
    1.10
    false
    1.09
    every
    1.09
    absolutely
    1.07
    never
    1.07
    personal
    1.07
    Activations Density 0.175%

    No Known Activations