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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. 1-RES-JB
    11. 3360
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    Explanations

    words related to "caramel" and "camel"

    oai_token-act-pair · gpt-3.5-turbo

    words related to camels and caramel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SB
    -0.73
     Schr
    -0.72
    FG
    -0.71
    SL
    -0.70
    alez
    -0.70
    ELF
    -0.69
     Climate
    -0.67
    FP
    -0.67
     Compton
    -0.66
    essions
    -0.66
    POSITIVE LOGITS
    amel
    1.75
    opard
    0.89
     camel
    0.81
    bum
    0.81
    ength
    0.81
    bara
    0.78
    ibrary
    0.76
    eele
    0.76
    anguages
    0.74
    onso
    0.74
    Activations Density 0.011%

    No Known Activations