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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 20613
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    Explanations

    specific subjects or titles within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Subject" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gas
    -0.71
     brace
    -0.66
     ice
    -0.66
     cycling
    -0.66
     animation
    -0.65
     poke
    -0.64
     bulldo
    -0.64
    otte
    -0.64
     advocate
    -0.64
     palm
    -0.63
    POSITIVE LOGITS
    Subject
    4.24
     Subject
    2.82
    subject
    2.08
     Subjects
    1.55
    Reviewer
    1.46
    soever
    1.33
    Posts
    1.24
    Reply
    1.19
    Anonymous
    1.14
    Merit
    1.07
    Activations Density 0.037%

    No Known Activations