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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. 9-RES-JB
    11. 4796
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    Explanations

    contractions where the words "do not" or "is not" are split into two separate tokens

    oai_token-act-pair · gpt-3.5-turbo

    negative constructs or phrases indicating failure or refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORGE
    -0.88
    ãĥ³ãĤ¸
    -0.82
    ãĤ¶
    -0.78
    Reader
    -0.77
    unless
    -0.76
    NetMessage
    -0.75
    emonium
    -0.75
    ãĤ¤ãĥĪ
    -0.75
    ãĥĵ
    -0.74
    ãĤ¦ãĤ¹
    -0.73
    POSITIVE LOGITS
     already
    1.01
     comply
    0.90
     careful
    0.87
     succeed
    0.86
     resolve
    0.86
     agree
    0.86
     cooperate
    0.83
     toe
    0.76
     reciproc
    0.74
     heed
    0.73
    Activations Density 0.113%

    No Known Activations