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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. 11-RES-JB
    11. 16710
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    Explanations

    instances where a call to action is made

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called" referring to requests or demands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.66
    ãĥĹ
    -0.64
    å°Ĩ
    -0.62
    女
    -0.61
    olars
    -0.61
    oult
    -0.60
    cia
    -0.60
    qua
    -0.58
    lean
    -0.57
    kus
    -0.57
    POSITIVE LOGITS
     attention
    1.14
     upon
    1.05
     for
    1.04
     forth
    0.94
    enance
    0.84
     into
    0.83
     aloud
    0.82
     bullshit
    0.80
     on
    0.78
     onto
    0.78
    Activations Density 0.051%

    No Known Activations