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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. 4-RES-JB
    11. 1123
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    Explanations

    phrases related to things or places being shallow

    oai_token-act-pair · gpt-3.5-turbo

    references to shallow or superficial qualities or conditions

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

    No Comments

    Negative Logits
    XXXX
    -0.70
    OX
    -0.67
    haw
    -0.67
    ATA
    -0.67
    HCR
    -0.65
    MET
    -0.65
    STR
    -0.64
     starring
    -0.63
    RON
    -0.62
    ãĥķ
    -0.61
    POSITIVE LOGITS
     shallow
    0.89
    est
    0.87
    ened
    0.86
    ly
    0.85
    emouth
    0.81
    ening
    0.80
    itudinal
    0.77
    clair
    0.77
    ftime
    0.76
     slope
    0.74
    Activations Density 0.011%

    No Known Activations