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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. 8-RES-JB
    11. 10998
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    Explanations

    words related to specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or terms related to food and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -1.01
    er
    -0.88
    istic
    -0.82
    ger
    -0.80
    ists
    -0.77
    istics
    -0.76
    ship
    -0.74
    ergy
    -0.72
    ist
    -0.71
    umes
    -0.71
    POSITIVE LOGITS
    awaru
    0.84
    merce
    0.81
    hower
    0.81
    illon
    0.80
    ĸļ
    0.79
    odied
    0.79
    oral
    0.78
    pora
    0.77
    ãĤ´ãĥ³
    0.76
    puter
    0.74
    Activations Density 0.120%

    No Known Activations