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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. 4-RES-JB
    11. 4102
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    INDEX
    Explanations

    instances of actions or events that were expected or intended to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expectations or obligations

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

    No Comments

    Negative Logits
    mens
    -0.75
    croft
    -0.74
    east
    -0.71
    lust
    -0.69
    tex
    -0.68
    lake
    -0.68
    sv
    -0.68
    pu
    -0.68
    roads
    -0.68
    bu
    -0.67
    POSITIVE LOGITS
     explan
    0.83
    DonaldTrump
    0.77
    STDOUT
    0.75
     disclaim
    0.74
    ãĥ¼ãĥĨãĤ£
    0.71
     conflic
    0.69
     compe
    0.68
     princ
    0.67
     inconsist
    0.65
     culprit
    0.64
    Activations Density 0.022%

    No Known Activations