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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. 4564
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    Explanations

    phrases indicating an evaluation or analysis of a situation or statement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express opinions or evaluations about various subjects

    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
     Lann
    -0.67
    odder
    -0.67
    aredevil
    -0.66
    illard
    -0.66
    uve
    -0.64
    vez
    -0.64
    olkien
    -0.64
    udeau
    -0.63
    rient
    -0.63
    apsed
    -0.62
    POSITIVE LOGITS
    Sounds
    0.92
    tracks
    0.89
     louder
    0.89
     Sounds
    0.86
     sounded
    0.82
     omin
    0.80
    sound
    0.77
     drums
    0.77
     voic
    0.76
     sounds
    0.76
    Activations Density 0.015%

    No Known Activations