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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. 1-RES-JB
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    Explanations

    the verb "are" in statements describing various situations

    oai_token-act-pair · gpt-3.5-turbo

    the verb "are" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iates
    -0.65
    ised
    -0.64
    enture
    -0.61
    icked
    -0.61
    inav
    -0.61
    udeau
    -0.60
    iture
    -0.60
    urry
    -0.60
    ossom
    -0.58
     fulfil
    -0.58
    POSITIVE LOGITS
    senal
    1.01
    wolves
    1.01
     hereby
    0.89
    wolf
    0.83
    nt
    0.74
     legion
    0.71
     supposed
    0.71
     also
    0.67
     not
    0.66
     gonna
    0.66
    Activations Density 0.282%

    No Known Activations