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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. 3-RES-JB
    11. 5545
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    Explanations

    words related to persuasion or influence, particularly when it comes to enticing or attracting individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to entrapment or restraint

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ucket
    -0.69
     FSA
    -0.62
    itsch
    -0.61
     accurately
    -0.60
    acus
    -0.58
    ulz
    -0.58
    secution
    -0.58
    enthal
    -0.58
     cz
    -0.58
     CTR
    -0.57
    POSITIVE LOGITS
    eering
    0.88
    RET
    0.81
    URE
    0.72
    TAIN
    0.72
    URES
    0.72
    ingly
    0.70
    Exit
    0.70
    ties
    0.70
    ment
    0.69
    achment
    0.69
    Activations Density 0.056%

    No Known Activations