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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    phrases related to taking care of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of "take care" and variations of that phrase

    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
    chrom
    -0.71
    onite
    -0.65
    Closure
    -0.61
     slit
    -0.61
    Bi
    -0.61
    DX
    -0.60
    Arc
    -0.59
     envy
    -0.58
     mysteries
    -0.58
    Face
    -0.56
    POSITIVE LOGITS
    taker
    1.26
    giving
    0.93
    tesy
    0.93
    izabeth
    0.78
    ername
    0.77
    lain
    0.74
    lessly
    0.71
    pine
    0.71
    fully
    0.70
    gard
    0.69
    Activations Density 0.006%

    No Known Activations