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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. 17298
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    Explanations

    terms related to forceful or abrupt actions, particularly the act of forcefully pushing or driving something into a place

    oai_token-act-pair · gpt-3.5-turbo

    words related to rams and the act of cramming

    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
    KI
    -0.71
    CLASSIFIED
    -0.71
     Vald
    -0.69
    IELD
    -0.67
     Colo
    -0.67
    ACP
    -0.67
     Objective
    -0.64
     Bind
    -0.64
     Fein
    -0.64
     Clo
    -0.64
    POSITIVE LOGITS
     ram
    1.14
    ming
    1.08
    dump
    0.91
    disk
    0.89
    bling
    0.88
    ble
    0.86
    irez
    0.84
    rod
    0.81
    bled
    0.80
    pling
    0.80
    Activations Density 0.010%

    No Known Activations