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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. 9826
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    Explanations

    specific identifiers or labels denoted by a "#" symbol followed by a number

    oai_token-act-pair · gpt-3.5-turbo

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    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
     destro
    -0.81
     cler
    -0.74
     assum
    -0.70
     provoking
    -0.70
     drown
    -0.70
     plank
    -0.69
     Sylv
    -0.68
     contemplation
    -0.67
     circulation
    -0.67
     cardio
    -0.67
    POSITIVE LOGITS
    DIV
    1.42
    ################################
    1.30
    ########
    1.20
    ###
    1.17
    !/
    1.08
    RH
    1.07
    ################
    1.05
    define
    1.02
    VALUE
    1.00
    Gamer
    0.97
    Activations Density 0.022%

    No Known Activations