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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. 4-RES-JB
    11. 7150
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    Explanations

    actions or activities being performed by someone

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to do" and related action verbs

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

    No Comments

    Negative Logits
    nown
    -0.82
    endant
    -0.67
    ersen
    -0.66
    izons
    -0.65
    ère
    -0.64
     Saud
    -0.64
    oglu
    -0.61
    nen
    -0.60
    ikan
    -0.60
    hid
    -0.60
    POSITIVE LOGITS
     regard
    0.69
     mode
    0.68
     circles
    0.67
     materials
    0.66
     crowds
    0.66
     hearts
    0.65
     venues
    0.65
     roles
    0.64
     mosqu
    0.64
     spheres
    0.62
    Activations Density 0.127%

    No Known Activations