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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. 13580
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    Explanations

    phrases related to anticipation or preparation for upcoming events

    oai_token-act-pair · gpt-3.5-turbo

    empty strings or sections with no content

    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
    llor
    -0.67
    CLASSIFIED
    -0.63
    NOW
    -0.60
     %%
    -0.54
     showc
    -0.53
    catentry
    -0.53
     contag
    -0.53
     convol
    -0.53
    bryce
    -0.52
    HAEL
    -0.52
    POSITIVE LOGITS
     lieu
    1.15
     accordance
    1.14
    ordinate
    1.12
     conjunction
    1.11
    clus
    1.08
    patient
    1.05
    clusions
    1.03
     vitro
    1.02
    roads
    1.01
    animate
    1.01
    Activations Density 0.690%

    No Known Activations