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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. 8-RES-JB
    11. 475
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    INDEX
    Explanations

    words related to negative emotions or situations, particularly those causing discomfort or distress

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distance or separation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    frames
    -0.75
    theless
    -0.75
    ton
    -0.75
    glers
    -0.74
    swick
    -0.73
    deen
    -0.69
     Falling
    -0.69
    tes
    -0.68
    DF
    -0.68
     briefs
    -0.68
    POSITIVE LOGITS
    ribut
    1.34
    illation
    1.29
    illery
    1.29
    anced
    1.24
    ributes
    1.16
    ancing
    1.15
    inguished
    1.11
    ributed
    1.11
    illing
    1.09
    ribute
    1.08
    Activations Density 0.034%

    No Known Activations