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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. 10-RES-JB
    11. 7118
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    Explanations

    proper nouns or names within sentences

    oai_token-act-pair · gpt-3.5-turbo

    the mention of specific "Cl" identifiers, likely referring to classifications or categories in a given context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.74
     htt
    -0.64
    EMENT
    -0.63
     Civic
    -0.63
     den
    -0.62
     Lans
    -0.60
     rewarding
    -0.59
    MODE
    -0.59
     punishable
    -0.59
     FTA
    -0.58
    POSITIVE LOGITS
    ojure
    1.39
    oser
    1.30
    ients
    1.27
    osing
    1.25
    osures
    1.21
    usters
    1.21
    othes
    1.19
    utch
    1.19
    uster
    1.18
    ipper
    1.17
    Activations Density 0.022%

    No Known Activations