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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. 6-RES-JB
    11. 232
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    INDEX
    Explanations

    mentions of specific locations or buildings, particularly houses

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of houses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.84
    umbo
    -0.70
    ombie
    -0.69
     DPR
    -0.67
    asm
    -0.67
    */(
    -0.65
    TAG
    -0.64
    PsyNetMessage
    -0.64
    istic
    -0.63
     Username
    -0.60
    POSITIVE LOGITS
    wife
    1.15
    wives
    1.12
    hold
    1.11
    holders
    0.95
    ¢
    0.93
    door
    0.92
    warming
    0.89
    holder
    0.88
    keeping
    0.87
    ¶ħ
    0.84
    Activations Density 0.015%

    No Known Activations