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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. 6-RES-JB
    11. 4295
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    Explanations

    verbs related to questioning or inquiring

    oai_token-act-pair · gpt-3.5-turbo

    words related to identity and classification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    »Ĵ
    -0.64
    ItemImage
    -0.63
     effected
    -0.60
    displayText
    -0.60
    poke
    -0.58
    STD
    -0.58
    isSpecialOrderable
    -0.58
    factor
    -0.57
    assetsadobe
    -0.57
    arthed
    -0.55
    POSITIVE LOGITS
    ulas
    0.75
    eless
    0.69
    istas
    0.67
    atan
    0.64
    iar
    0.63
    emen
    0.61
    ulum
    0.61
    atio
    0.61
    iary
    0.60
    iers
    0.59
    Activations Density 0.284%

    No Known Activations