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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. 7267
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo
    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
     reluct
    -0.59
     suspic
    -0.58
     reconc
    -0.58
     offending
    -0.56
     snag
    -0.56
     rall
    -0.56
     undermin
    -0.55
    irements
    -0.53
     observer
    -0.51
    -+-+-+-+
    -0.51
    POSITIVE LOGITS
     âĵĺ
    0.98
    ensis
    0.86
     (?,
    0.69
    osa
    0.68
    icum
    0.68
    itars
    0.68
    essen
    0.61
    gmail
    0.60
     LLP
    0.59
    utics
    0.59
    Activations Density 0.588%

    No Known Activations