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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. 8993
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and identifiers related to transactions or codes

    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
    gel
    -0.76
    ciplinary
    -0.75
    aber
    -0.74
    bed
    -0.71
    papers
    -0.71
    erb
    -0.69
    rob
    -0.66
    bat
    -0.66
    sie
    -0.66
    artment
    -0.66
    POSITIVE LOGITS
    SG
    1.12
    ULT
    1.06
    ACC
    1.05
     WA
    1.03
    NR
    1.01
     RC
    1.01
     NX
    1.00
    UTERS
    0.99
     TP
    0.99
    NRS
    0.99
    Activations Density 0.234%

    No Known Activations