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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7966
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    INDEX
    Explanations

    mentions of actions, statements, or decisions made by a specific person

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific speaker or subject's statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     +/-
    -0.61
    âĺħâĺħ
    -0.61
     Starg
    -0.59
     [|
    -0.59
     guiActiveUnfocused
    -0.58
     â̦"
    -0.56
     ..."
    -0.55
     Chaser
    -0.55
    ~~~~
    -0.54
     ___
    -0.53
    POSITIVE LOGITS
    zbollah
    1.39
    pherd
    1.32
    resy
    1.19
    ldon
    1.12
    ffield
    1.11
    odore
    1.09
    ppard
    1.06
    miah
    1.04
    idi
    1.00
    itage
    0.99
    Activations Density 0.160%

    No Known Activations