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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. 7-RES-JB
    11. 3981
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    Explanations

    phrases indicating ongoing situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "having" followed by various contexts in which it is used

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anticipating
    -0.65
     Beginning
    -0.63
     Unlock
    -0.62
     Firearms
    -0.61
     premise
    -0.60
    gnu
    -0.60
     Vehicles
    -0.59
    ply
    -0.59
     invoking
    -0.59
     reserv
    -0.58
    POSITIVE LOGITS
     trouble
    1.04
    drawn
    0.87
    iculty
    0.84
     nightmares
    0.81
    vered
    0.81
     fun
    0.79
    awar
    0.78
    rodu
    0.77
    rontal
    0.76
    parable
    0.76
    Activations Density 0.074%

    No Known Activations