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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. 18819
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    Explanations

    the word "all" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "all" in various contexts

    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
    SHIP
    -0.67
    aminer
    -0.65
     Kamp
    -0.64
     Peninsula
    -0.63
    ufact
    -0.60
    rouse
    -0.59
    IDS
    -0.59
    oute
    -0.59
    hap
    -0.58
    yip
    -0.58
    POSITIVE LOGITS
    ocating
    1.17
     kinds
    1.17
     sorts
    1.14
    igators
    1.08
    igator
    1.06
    udes
    1.00
    usions
    1.00
    uding
    0.96
    ocation
    0.90
    usion
    0.89
    Activations Density 0.146%

    No Known Activations