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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. 7-RES-JB
    11. 17783
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    Explanations

    words related to inherent characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to inherent or innate qualities and attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EY
    -0.76
    pherd
    -0.75
    kers
    -0.73
     Pupp
    -0.72
     Shoes
    -0.67
    rooms
    -0.66
     Wife
    -0.65
     Shake
    -0.65
    eday
    -0.64
    hammer
    -0.63
    POSITIVE LOGITS
     merit
    0.79
     qualities
    0.78
    aneous
    0.78
     weaknesses
    0.77
     competence
    0.77
     weakness
    0.77
    ities
    0.75
     merits
    0.74
    urity
    0.73
     dangers
    0.73
    Activations Density 0.036%

    No Known Activations