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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. 7-RES-JB
    11. 22660
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    Explanations

    specific words related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "om"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Actual
    -0.65
    LIST
    -0.63
    ++++++++++++++++
    -0.63
     overpower
    -0.61
     nexus
    -0.60
    VO
    -0.60
    actions
    -0.60
     compuls
    -0.59
     pork
    -0.58
    draw
    -0.58
    POSITIVE LOGITS
    obile
    1.19
    puter
    1.19
    otive
    1.16
    edia
    1.10
    orrow
    1.08
    useum
    1.02
    obiles
    1.02
    icro
    1.00
    pson
    1.00
    agnetic
    0.99
    Activations Density 0.029%

    No Known Activations