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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. 21415
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    Explanations

    words related to attachments or attached objects

    oai_token-act-pair · gpt-3.5-turbo

    references to attachments or connected items

    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
    Cola
    -0.87
    Ô
    -0.73
    externalActionCode
    -0.71
    gling
    -0.70
    baum
    -0.69
    λ
    -0.66
    FTWARE
    -0.64
    solete
    -0.64
    Ry
    -0.63
    zza
    -0.63
    POSITIVE LOGITS
     attachment
    1.12
     attach
    0.97
     attachments
    0.95
     detach
    0.88
    attach
    0.81
    Attach
    0.81
    achment
    0.79
    ables
    0.79
    ability
    0.78
    rator
    0.76
    Activations Density 0.012%

    No Known Activations