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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. 15138
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    Explanations

    proper names (surnames) related to various individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people involved in education or teaching roles

    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
     Carbuncle
    -0.70
     Mayo
    -0.70
     customary
    -0.68
    erest
    -0.66
    ourced
    -0.65
     outsourcing
    -0.65
     hem
    -0.64
    umbn
    -0.64
     prototyp
    -0.61
    emb
    -0.60
    POSITIVE LOGITS
    acher
    1.16
    jee
    0.86
    ierrez
    0.78
    ãĤ·ãĥ£
    0.75
    door
    0.74
    otle
    0.73
    oton
    0.72
    ãĤº
    0.72
    achers
    0.71
    berger
    0.70
    Activations Density 0.007%

    No Known Activations