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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. 2-RES-JB
    11. 12781
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    Explanations

    phrases related to habits or repeated actions

    oai_token-act-pair · gpt-3.5-turbo

    references to patterns of behavior or actions that are repeated regularly

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.90
     SAR
    -0.84
    ammy
    -0.82
     RIS
    -0.75
    cross
    -0.74
    ndum
    -0.66
     GOODMAN
    -0.66
    ILLE
    -0.65
    headers
    -0.65
    anmar
    -0.65
    POSITIVE LOGITS
     habit
    1.21
    uated
    1.14
    ually
    1.08
    uate
    1.05
     habits
    1.04
    uation
    1.04
    uates
    0.94
    uating
    0.85
    uously
    0.74
    uous
    0.74
    Activations Density 0.006%

    No Known Activations