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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. 2276
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    Explanations

    phrases related to actions or events being carried out

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or ongoing situations

    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
    æĥ
    -0.68
    Imagine
    -0.64
    ãĥ¯
    -0.62
     Suddenly
    -0.61
    amins
    -0.61
    bec
    -0.61
     nep
    -0.60
    riter
    -0.60
     Izan
    -0.58
    Suddenly
    -0.58
    POSITIVE LOGITS
     unsuccessful
    0.74
     satisfactory
    0.73
     unsuccessfully
    0.70
     successful
    0.68
     indications
    0.67
    successful
    0.66
     sparing
    0.66
     only
    0.65
    TERN
    0.64
     satisf
    0.63
    Activations Density 0.083%

    No Known Activations