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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. 3033
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    Explanations

    names and surnames of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word 'leg' and other related terms

    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
    TERN
    -0.88
     Tud
    -0.81
     Nost
    -0.79
     TAG
    -0.78
     som
    -0.78
     Rud
    -0.75
     Zub
    -0.75
     Trib
    -0.73
     Judd
    -0.73
     Tib
    -0.73
    POSITIVE LOGITS
    EL
    1.10
    eling
    1.03
    els
    1.00
    el
    0.99
    eled
    0.93
    elle
    0.92
    ilde
    0.91
    elt
    0.91
    ELS
    0.90
    illian
    0.89
    Activations Density 0.367%

    No Known Activations