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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. 6-RES-JB
    11. 15254
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    Explanations

    references related to a specific proper noun or name

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific group or named entity, particularly "Pers" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.86
    nz
    -0.67
    BILL
    -0.66
    æĸ¹
    -0.65
    iannopoulos
    -0.65
    ctors
    -0.65
     Aval
    -0.65
    éĸ
    -0.64
    LU
    -0.64
    aeper
    -0.64
    POSITIVE LOGITS
    istent
    1.15
    istence
    1.15
    iments
    0.95
    pect
    0.93
    idence
    0.92
    hing
    0.86
    erver
    0.85
    ager
    0.83
    enger
    0.82
    isting
    0.81
    Activations Density 0.023%

    No Known Activations