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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
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    Explanations

    the word "tit" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tit" and its variations in different 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
    Downloadha
    -0.77
    20439
    -0.68
    ijk
    -0.66
    TPPStreamerBot
    -0.66
    ulton
    -0.65
    ffect
    -0.65
    ITH
    -0.65
     downhill
    -0.65
    FORMATION
    -0.64
     Curve
    -0.63
    POSITIVE LOGITS
    ular
    1.13
    anic
    1.08
    itles
    1.05
    hered
    1.04
    tle
    0.98
    ented
    0.93
    bits
    0.92
    eless
    0.91
    rix
    0.91
    unia
    0.90
    Activations Density 0.027%

    No Known Activations