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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. 13170
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    Explanations

    phrases indicating suggestions or advice

    oai_token-act-pair · gpt-3.5-turbo

    phrases suggesting possibility or potential actions

    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
    killer
    -0.67
    pires
    -0.67
    bies
    -0.65
    jam
    -0.63
    shall
    -0.63
    icial
    -0.60
     Tok
    -0.58
     Dear
    -0.58
     Rah
    -0.58
     killers
    -0.58
    POSITIVE LOGITS
    haps
    0.99
    hap
    0.94
    nard
    0.80
     disagree
    0.75
     tempted
    0.75
    onna
    0.73
     optionally
    0.71
     choose
    0.69
     balk
    0.69
     ende
    0.68
    Activations Density 0.059%

    No Known Activations