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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. 14009
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    Explanations

    names or references related to a specific person ("Sydney")

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "yd"

    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
    ça
    -0.72
    voy
    -0.68
     FIRE
    -0.68
    ========
    -0.63
    renheit
    -0.60
     microscope
    -0.59
     conditioning
    -0.59
     Blaze
    -0.58
    TAIN
    -0.58
     pity
    -0.58
    POSITIVE LOGITS
    roxy
    1.07
    rox
    1.06
    roid
    0.97
    essert
    0.96
    aniel
    0.96
    ynamic
    0.90
    elta
    0.88
    ynasty
    0.86
    ield
    0.86
    ere
    0.86
    Activations Density 0.027%

    No Known Activations