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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. 11-RES-JB
    11. 515
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    Explanations

    acts of kindness or helpful gestures towards strangers or community

    oai_token-act-pair · gpt-3.5-turbo

    statements related to helping others or charitable actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redients
    -0.69
     preliminary
    -0.67
     Prel
    -0.56
     Upton
    -0.56
    umbn
    -0.55
     basics
    -0.54
     Rough
    -0.52
     Extras
    -0.52
     Supplemental
    -0.52
     rough
    -0.51
    POSITIVE LOGITS
     never
    2.10
    never
    2.07
     NEVER
    2.06
     ALWAYS
    1.87
     Never
    1.87
    Never
    1.82
     always
    1.80
    always
    1.72
     EVER
    1.68
     ever
    1.67
    Activations Density 0.497%

    No Known Activations