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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. 9-RES-JB
    11. 17317
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    INDEX
    Explanations

    action and consequences related to destruction or collapse

    oai_token-act-pair · gpt-3.5-turbo

    words related to implications or suggestive actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chal
    -0.83
    kees
    -0.74
    Ĥ¬
    -0.72
    grass
    -0.67
    boarding
    -0.66
    SEA
    -0.66
    flix
    -0.65
     cleaner
    -0.65
     passer
    -0.64
    bill
    -0.64
    POSITIVE LOGITS
    osion
    1.53
    ausible
    1.40
    icating
    1.36
    icate
    1.36
    oded
    1.35
    icates
    1.30
    ications
    1.25
    icit
    1.15
    oding
    1.14
    icated
    1.13
    Activations Density 0.030%

    No Known Activations