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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. 7-RES-JB
    11. 17805
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    Explanations

    possible consequences or implications of a given scenario

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and hypothetical situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alks
    -0.69
    plates
    -0.65
    ateurs
    -0.65
    perty
    -0.62
    rike
    -0.61
    rete
    -0.60
     Hear
    -0.60
    chuk
    -0.60
    ancock
    -0.59
    tor
    -0.59
    POSITIVE LOGITS
     incidentally
    0.87
    SPONSORED
    0.85
     understandable
    0.85
     admittedly
    0.83
    wcsstore
    0.81
    quickShipAvailable
    0.81
     exacerbated
    0.79
    ECA
    0.75
     ironically
    0.74
     inconvenient
    0.74
    Activations Density 0.235%

    No Known Activations