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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. 10-RES-JB
    11. 22125
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    INDEX
    Explanations

    phrases indicating causation or consequence

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitions indicating causality or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.88
    alg
    -0.85
    igger
    -0.83
    usterity
    -0.81
    raltar
    -0.74
    umbn
    -0.72
    ntil
    -0.72
    ibble
    -0.71
    tymology
    -0.71
    abases
    -0.69
    POSITIVE LOGITS
     contributes
    1.09
     enjoys
    1.09
     retains
    1.05
     incorporates
    1.05
     deserves
    1.05
     encourages
    1.04
     promotes
    1.04
     invests
    1.03
     interacts
    1.03
     expects
    1.03
    Activations Density 0.218%

    No Known Activations