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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. 9-RES-JB
    11. 20119
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a purpose or result

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.58
     Flavoring
    -0.55
     pinch
    -0.55
     Judging
    -0.54
    kind
    -0.54
    REL
    -0.54
    throp
    -0.54
    wick
    -0.54
    ropolitan
    -0.54
    wire
    -0.53
    POSITIVE LOGITS
    othe
    1.12
    othes
    1.04
    bered
    0.98
    apy
    0.97
    oths
    0.78
    aps
    0.78
    oner
    0.78
    letes
    0.75
    ãģ®éŃĶ
    0.74
     they
    0.74
    Activations Density 0.082%

    No Known Activations