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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. 2043
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    Explanations

    phrases related to making adjustments or modifications

    oai_token-act-pair · gpt-3.5-turbo

    words related to modifications or adjustments

    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
    inators
    -0.72
    False
    -0.66
    ination
    -0.63
    FF
    -0.62
    inating
    -0.62
     Accessed
    -0.59
    vo
    -0.59
     Cah
    -0.59
    ONT
    -0.59
    iop
    -0.58
    POSITIVE LOGITS
     tweak
    1.07
     tweaks
    1.01
     tweaking
    0.90
    hement
    0.86
    ables
    0.83
     tink
    0.82
    edIn
    0.81
     calibr
    0.80
    igger
    0.79
     adjustments
    0.78
    Activations Density 0.013%

    No Known Activations