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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. 1-RES-JB
    11. 20645
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    Explanations

    phrases related to asserting or making claims

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to claims made in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.78
     Watching
    -0.75
    cffffcc
    -0.72
     newcom
    -0.71
    etheless
    -0.67
     arrang
    -0.67
    xual
    -0.66
     guiActiveUnfocused
    -0.65
    bered
    -0.64
    awk
    -0.64
    POSITIVE LOGITS
     claims
    1.21
    Claim
    0.98
     Claims
    0.93
     claim
    0.92
    urances
    0.83
    ifications
    0.81
    ulence
    0.81
     alleges
    0.80
    ylum
    0.79
    icist
    0.79
    Activations Density 0.019%

    No Known Activations